Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in the python programming language to enhance your learning experience.
After completing this Machine Learning Certification Training using Python, you should be able to:
● Gain insight into the ‘Roles’ played by a Machine Learning Engineer
● Automate data analysis using python
● Describe Machine Learning
● Work with real-time data
● Learn tools and techniques for predictive modeling
● Discuss Machine Learning algorithms and their implementation
● Validate Machine Learning algorithms
● Explain Time Series and its related concepts
● Gain expertise to handle business in future, living the present
Exam: There will be one exam after the completion of the course. Students should pass the exam by securing above 60% of the full mark to receive the certificate of successful completion.
Assignments: There will be homework assignments required throughout the course. Assignments will be posted on the course page on a weekly basis. You are responsible for knowing that the assignment is due. NO LATE HOMEWORK ASSIGNMENTS WILL BE ACCEPTED.
Attendance/Participation: Your active participation in class is necessary, both for you and for your classmates. Your participation will be monitored by your attendance, your contributions to class discussions, and your overall positive demeanor during class.
Trainees will be provided certification of completion from Genese Cloud Academy signed by its CEO and trainer upon successful completion.